Pandas Profiling Report

Dataset statistics

Number of variables	50
Number of observations	131
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	51.3 KiB
Average record size in memory	401.0 B

Variable types

Categorical	27
Numeric	23

Warnings

`Total Bilirubin(mg/dL)` is highly correlated with `Direct Bilirubin (mg/dL)`	High correlation
`Direct Bilirubin (mg/dL)` is highly correlated with `Total Bilirubin(mg/dL)`	High correlation
`Grams of Alcohol per day` has 28 (21.4%) zeros	Zeros
`Packs of cigarets per year:` has 46 (35.1%) zeros	Zeros

Reproduction

Analysis started	2021-05-15 08:57:38.475650
Analysis finished	2021-05-15 08:58:52.739487
Duration	1 minute and 14.26 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Gender
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	115
female	16

Length

Max length	6
Median length	4
Mean length	4.244274809
Min length	4

Characters and Unicode

Total characters	556
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	male
4th row	male
5th row	male

Value	Count	Frequency (%)
male	115	87.8%
female	16	12.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	115	87.8%
female	16	12.2%

Most occurring characters

Value	Count	Frequency (%)
e	147	26.4%
m	131	23.6%
a	131	23.6%
l	131	23.6%
f	16	2.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	556	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	147	26.4%
m	131	23.6%
a	131	23.6%
l	131	23.6%
f	16	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	556	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	147	26.4%
m	131	23.6%
a	131	23.6%
l	131	23.6%
f	16	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	556	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	147	26.4%
m	131	23.6%
a	131	23.6%
l	131	23.6%
f	16	2.9%

Symptoms
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	89
female	42

Length

Max length	6
Median length	4
Mean length	4.641221374
Min length	4

Characters and Unicode

Total characters	608
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	male
3rd row	female
4th row	male
5th row	male

Value	Count	Frequency (%)
male	89	67.9%
female	42	32.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	89	67.9%
female	42	32.1%

Most occurring characters

Value	Count	Frequency (%)
e	173	28.5%
m	131	21.5%
a	131	21.5%
l	131	21.5%
f	42	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	608	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	173	28.5%
m	131	21.5%
a	131	21.5%
l	131	21.5%
f	42	6.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	608	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	173	28.5%
m	131	21.5%
a	131	21.5%
l	131	21.5%
f	42	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	608	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	173	28.5%
m	131	21.5%
a	131	21.5%
l	131	21.5%
f	42	6.9%

Alcohol
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	103
female	28

Length

Max length	6
Median length	4
Mean length	4.427480916
Min length	4

Characters and Unicode

Total characters	580
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	male
4th row	male
5th row	male

Value	Count	Frequency (%)
male	103	78.6%
female	28	21.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	103	78.6%
female	28	21.4%

Most occurring characters

Value	Count	Frequency (%)
e	159	27.4%
m	131	22.6%
a	131	22.6%
l	131	22.6%
f	28	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	580	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	159	27.4%
m	131	22.6%
a	131	22.6%
l	131	22.6%
f	28	4.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	580	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	159	27.4%
m	131	22.6%
a	131	22.6%
l	131	22.6%
f	28	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	580	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	159	27.4%
m	131	22.6%
a	131	22.6%
l	131	22.6%
f	28	4.8%

Hepatitis B Surface Antigen
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	117
male	14

Length

Max length	6
Median length	6
Mean length	5.786259542
Min length	4

Characters and Unicode

Total characters	758
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	male
4th row	female
5th row	male

Value	Count	Frequency (%)
female	117	89.3%
male	14	10.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	117	89.3%
male	14	10.7%

Most occurring characters

Value	Count	Frequency (%)
e	248	32.7%
m	131	17.3%
a	131	17.3%
l	131	17.3%
f	117	15.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	758	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	248	32.7%
m	131	17.3%
a	131	17.3%
l	131	17.3%
f	117	15.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	758	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	248	32.7%
m	131	17.3%
a	131	17.3%
l	131	17.3%
f	117	15.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	758	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	248	32.7%
m	131	17.3%
a	131	17.3%
l	131	17.3%
f	117	15.4%

Hepatitis B e Antigen
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	130
male	1

Length

Max length	6
Median length	6
Mean length	5.984732824
Min length	4

Characters and Unicode

Total characters	784
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	female
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	130	99.2%
male	1	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	130	99.2%
male	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	784	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	784	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	784	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Hepatitis B Core Antibody
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	101
male	30

Length

Max length	6
Median length	6
Mean length	5.541984733
Min length	4

Characters and Unicode

Total characters	726
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	male
4th row	female
5th row	male

Value	Count	Frequency (%)
female	101	77.1%
male	30	22.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	101	77.1%
male	30	22.9%

Most occurring characters

Value	Count	Frequency (%)
e	232	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	101	13.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	726	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	232	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	101	13.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	726	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	232	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	101	13.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	726	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	232	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	101	13.9%

Hepatitis C Virus Antibody
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	106
male	25

Length

Max length	6
Median length	6
Mean length	5.618320611
Min length	4

Characters and Unicode

Total characters	736
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	male
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	106	80.9%
male	25	19.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	106	80.9%
male	25	19.1%

Most occurring characters

Value	Count	Frequency (%)
e	237	32.2%
m	131	17.8%
a	131	17.8%
l	131	17.8%
f	106	14.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	736	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	237	32.2%
m	131	17.8%
a	131	17.8%
l	131	17.8%
f	106	14.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	736	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	237	32.2%
m	131	17.8%
a	131	17.8%
l	131	17.8%
f	106	14.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	736	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	237	32.2%
m	131	17.8%
a	131	17.8%
l	131	17.8%
f	106	14.4%

Cirrhosis
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	120
female	11

Length

Max length	6
Median length	4
Mean length	4.167938931
Min length	4

Characters and Unicode

Total characters	546
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	male
4th row	male
5th row	male

Value	Count	Frequency (%)
male	120	91.6%
female	11	8.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	120	91.6%
female	11	8.4%

Most occurring characters

Value	Count	Frequency (%)
e	142	26.0%
m	131	24.0%
a	131	24.0%
l	131	24.0%
f	11	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	546	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	142	26.0%
m	131	24.0%
a	131	24.0%
l	131	24.0%
f	11	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	546	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	142	26.0%
m	131	24.0%
a	131	24.0%
l	131	24.0%
f	11	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	546	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	142	26.0%
m	131	24.0%
a	131	24.0%
l	131	24.0%
f	11	2.0%

Endemic Countries
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	123
male	8

Length

Max length	6
Median length	6
Mean length	5.877862595
Min length	4

Characters and Unicode

Total characters	770
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	123	93.9%
male	8	6.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	123	93.9%
male	8	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	254	33.0%
m	131	17.0%
a	131	17.0%
l	131	17.0%
f	123	16.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	770	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	254	33.0%
m	131	17.0%
a	131	17.0%
l	131	17.0%
f	123	16.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	770	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	254	33.0%
m	131	17.0%
a	131	17.0%
l	131	17.0%
f	123	16.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	770	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	254	33.0%
m	131	17.0%
a	131	17.0%
l	131	17.0%
f	123	16.0%

Smoking
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	85
female	46

Length

Max length	6
Median length	4
Mean length	4.702290076
Min length	4

Characters and Unicode

Total characters	616
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	male
4th row	male
5th row	male

Value	Count	Frequency (%)
male	85	64.9%
female	46	35.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	85	64.9%
female	46	35.1%

Most occurring characters

Value	Count	Frequency (%)
e	177	28.7%
m	131	21.3%
a	131	21.3%
l	131	21.3%
f	46	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	616	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	177	28.7%
m	131	21.3%
a	131	21.3%
l	131	21.3%
f	46	7.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	616	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	177	28.7%
m	131	21.3%
a	131	21.3%
l	131	21.3%
f	46	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	616	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	177	28.7%
m	131	21.3%
a	131	21.3%
l	131	21.3%
f	46	7.5%

Diabetes
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	85
male	46

Length

Max length	6
Median length	6
Mean length	5.297709924
Min length	4

Characters and Unicode

Total characters	694
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	female
4th row	male
5th row	female

Value	Count	Frequency (%)
female	85	64.9%
male	46	35.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	85	64.9%
male	46	35.1%

Most occurring characters

Value	Count	Frequency (%)
e	216	31.1%
m	131	18.9%
a	131	18.9%
l	131	18.9%
f	85	12.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	694	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	216	31.1%
m	131	18.9%
a	131	18.9%
l	131	18.9%
f	85	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	694	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	216	31.1%
m	131	18.9%
a	131	18.9%
l	131	18.9%
f	85	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	694	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	216	31.1%
m	131	18.9%
a	131	18.9%
l	131	18.9%
f	85	12.2%

Obesity
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	118
male	13

Length

Max length	6
Median length	6
Mean length	5.801526718
Min length	4

Characters and Unicode

Total characters	760
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	118	90.1%
male	13	9.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	118	90.1%
male	13	9.9%

Most occurring characters

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	760	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	760	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	760	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Hemochromatosis
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	126
male	5

Length

Max length	6
Median length	6
Mean length	5.923664122
Min length	4

Characters and Unicode

Total characters	776
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	126	96.2%
male	5	3.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	126	96.2%
male	5	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	257	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	126	16.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	776	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	257	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	126	16.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	776	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	257	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	126	16.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	776	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	257	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	126	16.2%

Arterial Hypertension
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	80
male	51

Length

Max length	6
Median length	6
Mean length	5.221374046
Min length	4

Characters and Unicode

Total characters	684
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	male
3rd row	male
4th row	male
5th row	male

Value	Count	Frequency (%)
female	80	61.1%
male	51	38.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	80	61.1%
male	51	38.9%

Most occurring characters

Value	Count	Frequency (%)
e	211	30.8%
m	131	19.2%
a	131	19.2%
l	131	19.2%
f	80	11.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	684	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	211	30.8%
m	131	19.2%
a	131	19.2%
l	131	19.2%
f	80	11.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	684	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	211	30.8%
m	131	19.2%
a	131	19.2%
l	131	19.2%
f	80	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	684	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	211	30.8%
m	131	19.2%
a	131	19.2%
l	131	19.2%
f	80	11.7%

Chronic Renal Insufficiency
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	118
male	13

Length

Max length	6
Median length	6
Mean length	5.801526718
Min length	4

Characters and Unicode

Total characters	760
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	male
4th row	female
5th row	male

Value	Count	Frequency (%)
female	118	90.1%
male	13	9.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	118	90.1%
male	13	9.9%

Most occurring characters

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	760	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	760	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	760	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	249	32.8%
m	131	17.2%
a	131	17.2%
l	131	17.2%
f	118	15.5%

Human Immunodeficiency Virus
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	130
male	1

Length

Max length	6
Median length	6
Mean length	5.984732824
Min length	4

Characters and Unicode

Total characters	784
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	female
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	130	99.2%
male	1	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	130	99.2%
male	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	784	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	784	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	784	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	261	33.3%
m	131	16.7%
a	131	16.7%
l	131	16.7%
f	130	16.6%

Nonalcoholic Steatohepatitis
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	125
male	6

Length

Max length	6
Median length	6
Mean length	5.908396947
Min length	4

Characters and Unicode

Total characters	774
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	125	95.4%
male	6	4.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	125	95.4%
male	6	4.6%

Most occurring characters

Value	Count	Frequency (%)
e	256	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	125	16.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	774	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	256	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	125	16.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	774	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	256	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	125	16.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	774	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	256	33.1%
m	131	16.9%
a	131	16.9%
l	131	16.9%
f	125	16.1%

Esophageal Varices
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	77
male	54

Length

Max length	6
Median length	6
Mean length	5.175572519
Min length	4

Characters and Unicode

Total characters	678
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	77	58.8%
male	54	41.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	77	58.8%
male	54	41.2%

Most occurring characters

Value	Count	Frequency (%)
e	208	30.7%
m	131	19.3%
a	131	19.3%
l	131	19.3%
f	77	11.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	678	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	208	30.7%
m	131	19.3%
a	131	19.3%
l	131	19.3%
f	77	11.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	678	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	208	30.7%
m	131	19.3%
a	131	19.3%
l	131	19.3%
f	77	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	678	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	208	30.7%
m	131	19.3%
a	131	19.3%
l	131	19.3%
f	77	11.4%

Splenomegaly
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	79
female	52

Length

Max length	6
Median length	4
Mean length	4.79389313
Min length	4

Characters and Unicode

Total characters	628
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
male	79	60.3%
female	52	39.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	79	60.3%
female	52	39.7%

Most occurring characters

Value	Count	Frequency (%)
e	183	29.1%
m	131	20.9%
a	131	20.9%
l	131	20.9%
f	52	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	628	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	183	29.1%
m	131	20.9%
a	131	20.9%
l	131	20.9%
f	52	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	628	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	183	29.1%
m	131	20.9%
a	131	20.9%
l	131	20.9%
f	52	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	628	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	183	29.1%
m	131	20.9%
a	131	20.9%
l	131	20.9%
f	52	8.3%

Portal Hypertension
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	97
female	34

Length

Max length	6
Median length	4
Mean length	4.519083969
Min length	4

Characters and Unicode

Total characters	592
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	male
4th row	female
5th row	female

Value	Count	Frequency (%)
male	97	74.0%
female	34	26.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	97	74.0%
female	34	26.0%

Most occurring characters

Value	Count	Frequency (%)
e	165	27.9%
m	131	22.1%
a	131	22.1%
l	131	22.1%
f	34	5.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	165	27.9%
m	131	22.1%
a	131	22.1%
l	131	22.1%
f	34	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	165	27.9%
m	131	22.1%
a	131	22.1%
l	131	22.1%
f	34	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	165	27.9%
m	131	22.1%
a	131	22.1%
l	131	22.1%
f	34	5.7%

Portal Vein Thrombosis
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	100
male	31

Length

Max length	6
Median length	6
Mean length	5.526717557
Min length	4

Characters and Unicode

Total characters	724
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	female
4th row	female
5th row	female

Value	Count	Frequency (%)
female	100	76.3%
male	31	23.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	100	76.3%
male	31	23.7%

Most occurring characters

Value	Count	Frequency (%)
e	231	31.9%
m	131	18.1%
a	131	18.1%
l	131	18.1%
f	100	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	724	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	231	31.9%
m	131	18.1%
a	131	18.1%
l	131	18.1%
f	100	13.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	724	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	231	31.9%
m	131	18.1%
a	131	18.1%
l	131	18.1%
f	100	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	724	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	231	31.9%
m	131	18.1%
a	131	18.1%
l	131	18.1%
f	100	13.8%

Liver Metastasis
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

female	102
male	29

Length

Max length	6
Median length	6
Mean length	5.557251908
Min length	4

Characters and Unicode

Total characters	728
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	female
3rd row	male
4th row	male
5th row	female

Value	Count	Frequency (%)
female	102	77.9%
male	29	22.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	102	77.9%
male	29	22.1%

Most occurring characters

Value	Count	Frequency (%)
e	233	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	102	14.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	728	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	233	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	102	14.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	728	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	233	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	102	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	728	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	233	32.0%
m	131	18.0%
a	131	18.0%
l	131	18.0%
f	102	14.0%

Radiological Hallmark
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

male	92
female	39

Length

Max length	6
Median length	4
Mean length	4.595419847
Min length	4

Characters and Unicode

Total characters	602
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	male
4th row	male
5th row	male

Value	Count	Frequency (%)
male	92	70.2%
female	39	29.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	92	70.2%
female	39	29.8%

Most occurring characters

Value	Count	Frequency (%)
e	170	28.2%
m	131	21.8%
a	131	21.8%
l	131	21.8%
f	39	6.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	602	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	170	28.2%
m	131	21.8%
a	131	21.8%
l	131	21.8%
f	39	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	602	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	170	28.2%
m	131	21.8%
a	131	21.8%
l	131	21.8%
f	39	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	602	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	170	28.2%
m	131	21.8%
a	131	21.8%
l	131	21.8%
f	39	6.5%

Age at diagnosis
Real number (ℝ_≥0)

Distinct	46
Distinct (%)	35.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	65.57251908
Minimum	20
Maximum	93
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	20
5-th percentile	44
Q1	59
median	66
Q3	74
95-th percentile	83.5
Maximum	93
Range	73
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.59061344
Coefficient of variation (CV)	0.1920105192
Kurtosis	1.592002703
Mean	65.57251908
Median Absolute Deviation (MAD)	8
Skewness	-0.8595353272
Sum	8590
Variance	158.5235467
Monotocity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
73	7	5.3%
62	6	4.6%
74	6	4.6%
63	6	4.6%
61	5	3.8%
76	5	3.8%
72	5	3.8%
71	5	3.8%
66	5	3.8%
64	5	3.8%
Other values (36)	76	58.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	1	0.8%
23	1	0.8%
27	1	0.8%
40	1	0.8%
41	2	1.5%

Value	Count	Frequency (%)
93	1	0.8%
88	1	0.8%
87	1	0.8%
86	1	0.8%
85	1	0.8%

Grams of Alcohol per day
Real number (ℝ_≥0)

ZEROS

Distinct	19
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	79.44274809
Minimum	0
Maximum	500
Zeros	28
Zeros (%)	21.4%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	55
median	79
Q3	100
95-th percentile	200
Maximum	500
Range	500
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	65.47168035
Coefficient of variation (CV)	0.8241366509
Kurtosis	12.93664555
Mean	79.44274809
Median Absolute Deviation (MAD)	21
Skewness	2.392068911
Sum	10407
Variance	4286.540928
Monotocity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
79	36	27.5%
100	29	22.1%
0	28	21.4%
200	7	5.3%
75	6	4.6%
80	5	3.8%
70	3	2.3%
50	3	2.3%
60	2	1.5%
120	2	1.5%
Other values (9)	10	7.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	28	21.4%
20	1	0.8%
40	1	0.8%
50	3	2.3%
60	2	1.5%

Value	Count	Frequency (%)
500	1	0.8%
300	1	0.8%
200	7	5.3%
180	2	1.5%
150	1	0.8%

Packs of cigarets per year:
Real number (ℝ_≥0)

ZEROS

Distinct	26
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.09923664
Minimum	0
Maximum	510
Zeros	46
Zeros (%)	35.1%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	23
Q3	23
95-th percentile	60
Maximum	510
Range	510
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	46.92930116
Coefficient of variation (CV)	2.031638616
Kurtosis	90.35860348
Mean	23.09923664
Median Absolute Deviation (MAD)	21
Skewness	8.744800475
Sum	3026
Variance	2202.359307
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	46	35.1%
23	44	33.6%
30	7	5.3%
60	5	3.8%
50	5	3.8%
10	2	1.5%
40	2	1.5%
15	2	1.5%
67.5	1	0.8%
34.5	1	0.8%
Other values (16)	16	12.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46	35.1%
1	1	0.8%
2	1	0.8%
7.5	1	0.8%
8	1	0.8%

Value	Count	Frequency (%)
510	1	0.8%
80	1	0.8%
78	1	0.8%
67.5	1	0.8%
60	5	3.8%

Performance Status
Categorical

Distinct	5
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0	61
1	26
2	25
3	14
4	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	131
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	2
4th row	0
5th row	0

Value	Count	Frequency (%)
0	61	46.6%
1	26	19.8%
2	25	19.1%
3	14	10.7%
4	5	3.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	61	46.6%
1	26	19.8%
2	25	19.1%
3	14	10.7%
4	5	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	61	46.6%
1	26	19.8%
2	25	19.1%
3	14	10.7%
4	5	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	131	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	61	46.6%
1	26	19.8%
2	25	19.1%
3	14	10.7%
4	5	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	131	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	61	46.6%
1	26	19.8%
2	25	19.1%
3	14	10.7%
4	5	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	131	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	61	46.6%
1	26	19.8%
2	25	19.1%
3	14	10.7%
4	5	3.8%

Encefalopathy degree
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	113
2	15
3	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	131
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	113	86.3%
2	15	11.5%
3	3	2.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	113	86.3%
2	15	11.5%
3	3	2.3%

Most occurring characters

Value	Count	Frequency (%)
1	113	86.3%
2	15	11.5%
3	3	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	131	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	113	86.3%
2	15	11.5%
3	3	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	131	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	113	86.3%
2	15	11.5%
3	3	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	131	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	113	86.3%
2	15	11.5%
3	3	2.3%

Ascites degree
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	83
2	34
3	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	131
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	1
5th row	1

Value	Count	Frequency (%)
1	83	63.4%
2	34	26.0%
3	14	10.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	83	63.4%
2	34	26.0%
3	14	10.7%

Most occurring characters

Value	Count	Frequency (%)
1	83	63.4%
2	34	26.0%
3	14	10.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	131	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	83	63.4%
2	34	26.0%
3	14	10.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	131	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	83	63.4%
2	34	26.0%
3	14	10.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	131	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	83	63.4%
2	34	26.0%
3	14	10.7%

International Normalised Ratio:
Real number (ℝ_≥0)

Distinct	78
Distinct (%)	59.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.436870229
Minimum	0.94
Maximum	4.82
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.94
5-th percentile	1.01
Q1	1.18
median	1.32
Q3	1.53
95-th percentile	2.075
Maximum	4.82
Range	3.88
Interquartile range (IQR)	0.35

Descriptive statistics

Standard deviation	0.4999832058
Coefficient of variation (CV)	0.3479668489
Kurtosis	19.01542955
Mean	1.436870229
Median Absolute Deviation (MAD)	0.15
Skewness	3.706491875
Sum	188.23
Variance	0.2499832061
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.17	5	3.8%
1.2	5	3.8%
1.39	4	3.1%
1.33	4	3.1%
1.32	4	3.1%
1.11	3	2.3%
1.46	3	2.3%
1.18	3	2.3%
1.53	3	2.3%
1.23	3	2.3%
Other values (68)	94	71.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.94	2	1.5%
0.95	1	0.8%
0.96	2	1.5%
0.97	1	0.8%
1.01	2	1.5%

Value	Count	Frequency (%)
4.82	1	0.8%
3.56	1	0.8%
3.16	1	0.8%
3.14	1	0.8%
2.42	1	0.8%

Alpha-Fetoprotein (ng/mL)
Real number (ℝ_≥0)

Distinct	108
Distinct (%)	82.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	22426.55824
Minimum	1.2
Maximum	1810346
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.2
5-th percentile	2.2
Q1	5.2
median	42
Q3	696.5
95-th percentile	30888
Maximum	1810346
Range	1810344.8
Interquartile range (IQR)	691.3

Descriptive statistics

Standard deviation	162775.711
Coefficient of variation (CV)	7.25816727
Kurtosis	114.4854863
Mean	22426.55824
Median Absolute Deviation (MAD)	39.5
Skewness	10.47341316
Sum	2937879.13
Variance	2.64959321 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22427	7	5.3%
3.1	3	2.3%
2.5	3	2.3%
20	3	2.3%
8.8	2	1.5%
5	2	1.5%
77	2	1.5%
2.9	2	1.5%
2.8	2	1.5%
2.6	2	1.5%
Other values (98)	103	78.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.2	1	0.8%
1.7	1	0.8%
1.8	1	0.8%
1.9	1	0.8%
2	2	1.5%

Value	Count	Frequency (%)
1810346	1	0.8%
421500	1	0.8%
185203	1	0.8%
100809	1	0.8%
50655	1	0.8%

Haemoglobin (g/dL)
Real number (ℝ_≥0)

Distinct	59
Distinct (%)	45.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.88839695
Minimum	5
Maximum	18.7
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	5
5-th percentile	9.5
Q1	11.55
median	13
Q3	14.5
95-th percentile	15.8
Maximum	18.7
Range	13.7
Interquartile range (IQR)	2.95

Descriptive statistics

Standard deviation	2.126891128
Coefficient of variation (CV)	0.1650237137
Kurtosis	0.680457805
Mean	12.88839695
Median Absolute Deviation (MAD)	1.5
Skewness	-0.4266363189
Sum	1688.38
Variance	4.523665872
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.6	8	6.1%
14.9	6	4.6%
13.1	5	3.8%
13	5	3.8%
12.1	4	3.1%
10.8	4	3.1%
13.7	4	3.1%
14.3	4	3.1%
14.6	3	2.3%
15.7	3	2.3%
Other values (49)	85	64.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	1	0.8%
7.3	1	0.8%
8.9	1	0.8%
9.1	2	1.5%
9.5	3	2.3%

Value	Count	Frequency (%)
18.7	1	0.8%
16.6	1	0.8%
16.4	2	1.5%
16.2	1	0.8%
15.9	1	0.8%

Mean Corpuscular Volume (fl)
Real number (ℝ_≥0)

Distinct	108
Distinct (%)	82.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	94.50229008
Minimum	69.5
Maximum	119
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	69.5
5-th percentile	82
Q1	89.6
median	94.7
Q3	99.85
95-th percentile	105.75
Maximum	119
Range	49.5
Interquartile range (IQR)	10.25

Descriptive statistics

Standard deviation	8.010228707
Coefficient of variation (CV)	0.08476227085
Kurtosis	0.8588469503
Mean	94.50229008
Median Absolute Deviation (MAD)	5.1
Skewness	-0.2649357565
Sum	12379.8
Variance	64.16376395
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
95.1	5	3.8%
96.1	3	2.3%
93.8	3	2.3%
89.5	3	2.3%
103.6	2	1.5%
96.7	2	1.5%
100.8	2	1.5%
102	2	1.5%
90.1	2	1.5%
90.9	2	1.5%
Other values (98)	105	80.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
69.5	1	0.8%
70.6	1	0.8%
74	1	0.8%
78.7	1	0.8%
79.8	1	0.8%

Value	Count	Frequency (%)
119	1	0.8%
111.4	1	0.8%
111	1	0.8%
109.3	1	0.8%
107.5	1	0.8%

Leukocytes(G/L)
Real number (ℝ_≥0)

Distinct	88
Distinct (%)	67.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1608.343137
Minimum	2.2
Maximum	13000
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2.2
5-th percentile	3.6
Q1	5
median	6.86
Q3	1608.34
95-th percentile	8700
Maximum	13000
Range	12997.8
Interquartile range (IQR)	1603.34

Descriptive statistics

Standard deviation	3044.251233
Coefficient of variation (CV)	1.892787156
Kurtosis	2.097582026
Mean	1608.343137
Median Absolute Deviation (MAD)	2.56
Skewness	1.785868834
Sum	210692.951
Variance	9267465.567
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.9	6	4.6%
5.5	5	3.8%
4.3	4	3.1%
6.1	4	3.1%
5.8	3	2.3%
5.2	3	2.3%
5	3	2.3%
5.4	3	2.3%
9.8	3	2.3%
9	3	2.3%
Other values (78)	94	71.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.2	1	0.8%
2.3	1	0.8%
2.42	1	0.8%
2.9	1	0.8%
3	1	0.8%

Value	Count	Frequency (%)
13000	1	0.8%
10400	1	0.8%
9900	1	0.8%
9600	1	0.8%
9500	1	0.8%

Platelets (G/L)
Real number (ℝ_≥0)

Distinct	110
Distinct (%)	84.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	105103.8604
Minimum	1.71
Maximum	433000
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.71
5-th percentile	69
Q1	205.5
median	91000
Q3	163500
95-th percentile	285000
Maximum	433000
Range	432998.29
Interquartile range (IQR)	163294.5

Descriptive statistics

Standard deviation	100830.0818
Coefficient of variation (CV)	0.9593375682
Kurtosis	0.3148066803
Mean	105103.8604
Median Absolute Deviation (MAD)	90444
Skewness	0.8903907301
Sum	13768605.71
Variance	1.01667054 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77000	5	3.8%
109000	3	2.3%
99	3	2.3%
91000	3	2.3%
108	2	1.5%
159000	2	1.5%
105104	2	1.5%
194000	2	1.5%
58	2	1.5%
275000	2	1.5%
Other values (100)	105	80.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.71	1	0.8%
51	1	0.8%
58	2	1.5%
60	1	0.8%
61	1	0.8%

Value	Count	Frequency (%)
433000	1	0.8%
406000	1	0.8%
351000	1	0.8%
318000	1	0.8%
309000	1	0.8%

Albumin (mg/dL)
Real number (ℝ_≥0)

Distinct	37
Distinct (%)	28.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.410076336
Minimum	1.9
Maximum	4.9
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.9
5-th percentile	2.3
Q1	3
median	3.4
Q3	4
95-th percentile	4.5
Maximum	4.9
Range	3
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.683057038
Coefficient of variation (CV)	0.2003054978
Kurtosis	-0.6769021478
Mean	3.410076336
Median Absolute Deviation (MAD)	0.5
Skewness	-0.08898134575
Sum	446.72
Variance	0.4665669172
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
4.2	12	9.2%
3.1	11	8.4%
3.2	8	6.1%
4.1	7	5.3%
3.4	6	4.6%
2.7	6	4.6%
3.5	6	4.6%
2.4	6	4.6%
3.8	6	4.6%
3.6	5	3.8%
Other values (27)	58	44.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.9	2	1.5%
2.1	2	1.5%
2.2	2	1.5%
2.3	2	1.5%
2.35	1	0.8%

Value	Count	Frequency (%)
4.9	1	0.8%
4.7	2	1.5%
4.6	1	0.8%
4.54	1	0.8%
4.5	3	2.3%

Total Bilirubin(mg/dL)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	57
Distinct (%)	43.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.242366412
Minimum	0.3
Maximum	40.5
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.3
5-th percentile	0.5
Q1	0.9
median	1.5
Q3	3.24
95-th percentile	9.7
Maximum	40.5
Range	40.2
Interquartile range (IQR)	2.34

Descriptive statistics

Standard deviation	5.5495922
Coefficient of variation (CV)	1.711587
Kurtosis	23.88492655
Mean	3.242366412
Median Absolute Deviation (MAD)	0.8
Skewness	4.566397334
Sum	424.75
Variance	30.79797359
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	8	6.1%
1	8	6.1%
0.8	7	5.3%
1.3	7	5.3%
1.4	6	4.6%
0.7	6	4.6%
0.9	6	4.6%
1.7	5	3.8%
0.6	4	3.1%
2.1	4	3.1%
Other values (47)	70	53.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.3	1	0.8%
0.4	3	2.3%
0.5	8	6.1%
0.6	4	3.1%
0.7	6	4.6%

Value	Count	Frequency (%)
40.5	1	0.8%
32.3	1	0.8%
28.9	1	0.8%
19	1	0.8%
16	1	0.8%

Alanine transaminase (U/L)
Real number (ℝ_≥0)

Distinct	83
Distinct (%)	63.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	69.21709924
Minimum	11
Maximum	420
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	11
5-th percentile	18.5
Q1	29.5
median	50
Q3	92
95-th percentile	163
Maximum	420
Range	409
Interquartile range (IQR)	62.5

Descriptive statistics

Standard deviation	60.33852721
Coefficient of variation (CV)	0.8717286317
Kurtosis	9.674968238
Mean	69.21709924
Median Absolute Deviation (MAD)	23
Skewness	2.5501831
Sum	9067.44
Variance	3640.737865
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	5	3.8%
28	5	3.8%
31	4	3.1%
43	4	3.1%
27	4	3.1%
25	4	3.1%
34	4	3.1%
26	4	3.1%
56	3	2.3%
42	3	2.3%
Other values (73)	91	69.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11	2	1.5%
13	1	0.8%
16	2	1.5%
17	1	0.8%
18	1	0.8%

Value	Count	Frequency (%)
420	1	0.8%
299	1	0.8%
262	1	0.8%
217	1	0.8%
204	1	0.8%

Aspartate transaminase (U/L)
Real number (ℝ_≥0)

Distinct	98
Distinct (%)	74.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	100.9236641
Minimum	17
Maximum	553
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	17
5-th percentile	27.5
Q1	45.5
median	74
Q3	113.5
95-th percentile	315.5
Maximum	553
Range	536
Interquartile range (IQR)	68

Descriptive statistics

Standard deviation	91.21391749
Coefficient of variation (CV)	0.90379118
Kurtosis	7.996851338
Mean	100.9236641
Median Absolute Deviation (MAD)	33
Skewness	2.56357421
Sum	13221
Variance	8319.978743
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85	5	3.8%
38	4	3.1%
74	3	2.3%
29	3	2.3%
101	3	2.3%
43	3	2.3%
86	3	2.3%
26	2	1.5%
41	2	1.5%
87	2	1.5%
Other values (88)	101	77.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17	2	1.5%
19	1	0.8%
23	1	0.8%
26	2	1.5%
27	1	0.8%

Value	Count	Frequency (%)
553	1	0.8%
523	1	0.8%
357	1	0.8%
354	1	0.8%
335	1	0.8%

Gamma glutamyl transferase (U/L)
Real number (ℝ_≥0)

Distinct	117
Distinct (%)	89.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	264.0938931
Minimum	23
Maximum	1575
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	23
5-th percentile	39
Q1	90.5
median	184
Q3	320.5
95-th percentile	824.5
Maximum	1575
Range	1552
Interquartile range (IQR)	230

Descriptive statistics

Standard deviation	262.2275514
Coefficient of variation (CV)	0.9929330373
Kurtosis	6.802416814
Mean	264.0938931
Median Absolute Deviation (MAD)	104
Skewness	2.313970387
Sum	34596.3
Variance	68763.28873
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23	3	2.3%
196	3	2.3%
115	3	2.3%
264	2	1.5%
339	2	1.5%
72	2	1.5%
184	2	1.5%
143	2	1.5%
311	2	1.5%
54	2	1.5%
Other values (107)	108	82.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
23	3	2.3%
33	1	0.8%
34	1	0.8%
35	1	0.8%
38	1	0.8%

Value	Count	Frequency (%)
1575	1	0.8%
1390	1	0.8%
993	1	0.8%
924	1	0.8%
879	1	0.8%

Alkaline phosphatase (U/L)
Real number (ℝ_≥0)

Distinct	104
Distinct (%)	79.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	215.1090076
Minimum	1.28
Maximum	980
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.28
5-th percentile	68
Q1	109.5
median	165
Q3	241.5
95-th percentile	578.5
Maximum	980
Range	978.72
Interquartile range (IQR)	132

Descriptive statistics

Standard deviation	172.9486959
Coefficient of variation (CV)	0.8040048985
Kurtosis	7.033855629
Mean	215.1090076
Median Absolute Deviation (MAD)	61
Skewness	2.447419133
Sum	28179.28
Variance	29911.2514
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
109	4	3.1%
97	3	2.3%
120	3	2.3%
113	3	2.3%
174	3	2.3%
158	2	1.5%
166	2	1.5%
146	2	1.5%
68	2	1.5%
92	2	1.5%
Other values (94)	105	80.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.28	1	0.8%
55	1	0.8%
56	1	0.8%
62	1	0.8%
63	1	0.8%

Value	Count	Frequency (%)
980	1	0.8%
974	1	0.8%
923	1	0.8%
684	1	0.8%
670	1	0.8%

Total Proteins (g/dL)
Real number (ℝ_≥0)

Distinct	45
Distinct (%)	34.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.690839695
Minimum	3.9
Maximum	78
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	3.9
5-th percentile	5.3
Q1	6.3
median	7.1
Q3	7.75
95-th percentile	8.75
Maximum	78
Range	74.1
Interquartile range (IQR)	1.45

Descriptive statistics

Standard deviation	9.707558121
Coefficient of variation (CV)	1.116987364
Kurtosis	35.81550686
Mean	8.690839695
Median Absolute Deviation (MAD)	0.8
Skewness	5.926255924
Sum	1138.5
Variance	94.23668467
Monotocity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
7.3	10	7.6%
8.7	9	6.9%
6.3	8	6.1%
7	6	4.6%
7.1	6	4.6%
6.7	6	4.6%
5.4	5	3.8%
6.9	5	3.8%
7.7	5	3.8%
7.2	5	3.8%
Other values (35)	66	50.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.9	1	0.8%
4.3	1	0.8%
4.9	1	0.8%
5	3	2.3%
5.2	1	0.8%

Value	Count	Frequency (%)
78	1	0.8%
69	1	0.8%
58	1	0.8%
37	1	0.8%
16.8	1	0.8%

Creatinine (mg/dL)
Real number (ℝ_≥0)

Distinct	77
Distinct (%)	58.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.194503817
Minimum	0.2
Maximum	7.6
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.54
Q1	0.705
median	0.86
Q3	1.2
95-th percentile	2.95
Maximum	7.6
Range	7.4
Interquartile range (IQR)	0.495

Descriptive statistics

Standard deviation	0.9796052688
Coefficient of variation (CV)	0.8200938792
Kurtosis	15.90111755
Mean	1.194503817
Median Absolute Deviation (MAD)	0.18
Skewness	3.447301924
Sum	156.48
Variance	0.9596264827
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.7	8	6.1%
0.8	7	5.3%
0.9	7	5.3%
2.95	6	4.6%
0.77	4	3.1%
0.79	3	2.3%
0.86	3	2.3%
0.83	3	2.3%
0.88	3	2.3%
0.71	3	2.3%
Other values (67)	84	64.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2	1	0.8%
0.38	1	0.8%
0.4	1	0.8%
0.48	2	1.5%
0.52	1	0.8%

Value	Count	Frequency (%)
7.6	1	0.8%
4.95	1	0.8%
4.82	1	0.8%
3.23	1	0.8%
3.13	1	0.8%

Number of Nodules
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.717557252
Minimum	0
Maximum	5
Zeros	1
Zeros (%)	0.8%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	1.794327854
Coefficient of variation (CV)	0.6602723284
Kurtosis	-1.690718497
Mean	2.717557252
Median Absolute Deviation (MAD)	1
Skewness	0.3442644434
Sum	356
Variance	3.219612449
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	53	40.5%
5	46	35.1%
2	22	16.8%
3	7	5.3%
4	2	1.5%
0	1	0.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.8%
1	53	40.5%
2	22	16.8%
3	7	5.3%
4	2	1.5%

Value	Count	Frequency (%)
5	46	35.1%
4	2	1.5%
3	7	5.3%
2	22	16.8%
1	53	40.5%

Major dimension of nodule (cm)
Real number (ℝ_≥0)

Distinct	63
Distinct (%)	48.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.855725191
Minimum	1.5
Maximum	22
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.5
5-th percentile	2
Q1	3.25
median	6
Q3	8.3
95-th percentile	17.25
Maximum	22
Range	20.5
Interquartile range (IQR)	5.05

Descriptive statistics

Standard deviation	4.730131081
Coefficient of variation (CV)	0.6899534257
Kurtosis	1.40015111
Mean	6.855725191
Median Absolute Deviation (MAD)	2.5
Skewness	1.370053388
Sum	898.1
Variance	22.37414005
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.85	18	13.7%
2	7	5.3%
3	6	4.6%
4	5	3.8%
10	5	3.8%
3.5	4	3.1%
2.3	4	3.1%
20	4	3.1%
4.7	3	2.3%
9	3	2.3%
Other values (53)	72	55.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.5	3	2.3%
1.8	1	0.8%
1.9	1	0.8%
2	7	5.3%
2.1	1	0.8%

Value	Count	Frequency (%)
22	1	0.8%
20	4	3.1%
19	1	0.8%
17.5	1	0.8%
17	1	0.8%

Direct Bilirubin (mg/dL)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	38
Distinct (%)	29.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.96259542
Minimum	0.1
Maximum	29.3
Zeros	0
Zeros (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.2
Q1	0.5
median	1.2
Q3	1.96
95-th percentile	5.05
Maximum	29.3
Range	29.2
Interquartile range (IQR)	1.46

Descriptive statistics

Standard deviation	3.68818938
Coefficient of variation (CV)	1.879240797
Kurtosis	32.85943989
Mean	1.96259542
Median Absolute Deviation (MAD)	0.76
Skewness	5.423718206
Sum	257.1
Variance	13.6027409
Monotocity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
1.96	32	24.4%
0.3	16	12.2%
0.5	10	7.6%
0.7	8	6.1%
0.2	7	5.3%
1	5	3.8%
1.1	4	3.1%
0.8	4	3.1%
1.9	3	2.3%
1.4	3	2.3%
Other values (28)	39	29.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1	1	0.8%
0.2	7	5.3%
0.3	16	12.2%
0.37	1	0.8%
0.4	3	2.3%

Value	Count	Frequency (%)
29.3	1	0.8%
22.1	1	0.8%
19.5	1	0.8%
9.7	1	0.8%
9.6	1	0.8%

Iron (mcg/dL)
Real number (ℝ_≥0)

Distinct	63
Distinct (%)	48.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	85.83587786
Minimum	0
Maximum	224
Zeros	1
Zeros (%)	0.8%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	21.5
Q1	60
median	86
Q3	90
95-th percentile	182.5
Maximum	224
Range	224
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	43.15494814
Coefficient of variation (CV)	0.5027611905
Kurtosis	1.147362734
Mean	85.83587786
Median Absolute Deviation (MAD)	8
Skewness	0.8209946187
Sum	11244.5
Variance	1862.349549
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86	54	41.2%
94	3	2.3%
93	3	2.3%
184	3	2.3%
37	2	1.5%
15	2	1.5%
144	2	1.5%
26	2	1.5%
87	2	1.5%
28	2	1.5%
Other values (53)	56	42.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.8%
9	1	0.8%
13	1	0.8%
15	2	1.5%
19	1	0.8%

Value	Count	Frequency (%)
224	1	0.8%
200	1	0.8%
197	1	0.8%
187	1	0.8%
184	3	2.3%

Oxygen Saturation (%)
Real number (ℝ_≥0)

Distinct	50
Distinct (%)	38.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	36.95007634
Minimum	0
Maximum	126
Zeros	1
Zeros (%)	0.8%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	6.5
Q1	25
median	37
Q3	37
95-th percentile	88
Maximum	126
Range	126
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	22.10383432
Coefficient of variation (CV)	0.5982080826
Kurtosis	2.523754043
Mean	36.95007634
Median Absolute Deviation (MAD)	6
Skewness	1.282012787
Sum	4840.46
Variance	488.5794915
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37	59	45.0%
25	4	3.1%
27	4	3.1%
56	3	2.3%
17	3	2.3%
3	2	1.5%
73	2	1.5%
33	2	1.5%
34	2	1.5%
24	2	1.5%
Other values (40)	48	36.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.8%
1.52	1	0.8%
2.26	1	0.8%
3	2	1.5%
6	2	1.5%

Value	Count	Frequency (%)
126	1	0.8%
99	1	0.8%
96	1	0.8%
95	2	1.5%
90	1	0.8%

Ferritin
Real number (ℝ_≥0)

Distinct	75
Distinct (%)	57.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	434.8152672
Minimum	0
Maximum	2230
Zeros	1
Zeros (%)	0.8%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	29.5
Q1	266.5
median	435
Q3	435
95-th percentile	932.5
Maximum	2230
Range	2230
Interquartile range (IQR)	168.5

Descriptive statistics

Standard deviation	340.6914953
Coefficient of variation (CV)	0.7835315847
Kurtosis	10.16998618
Mean	434.8152672
Median Absolute Deviation (MAD)	80
Skewness	2.466325685
Sum	56960.8
Variance	116070.695
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
435	56	42.7%
48	2	1.5%
0	1	0.8%
141	1	0.8%
2165	1	0.8%
22	1	0.8%
302	1	0.8%
1001	1	0.8%
76.9	1	0.8%
221	1	0.8%
Other values (65)	65	49.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.8%
16	1	0.8%
18	1	0.8%
20	1	0.8%
22	1	0.8%

Value	Count	Frequency (%)
2230	1	0.8%
2165	1	0.8%
1452	1	0.8%
1316	1	0.8%
1001	1	0.8%

Class
Categorical

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	80
0	51

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	131
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Value	Count	Frequency (%)
1	80	61.1%
0	51	38.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	80	61.1%
0	51	38.9%

Most occurring characters

Value	Count	Frequency (%)
1	80	61.1%
0	51	38.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	131	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	80	61.1%
0	51	38.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	131	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	80	61.1%
0	51	38.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	131	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	80	61.1%
0	51	38.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Gender	Symptoms	Alcohol	Hepatitis B Surface Antigen	Hepatitis B e Antigen	Hepatitis B Core Antibody	Hepatitis C Virus Antibody	Cirrhosis	Endemic Countries	Smoking	Diabetes	Obesity	Hemochromatosis	Arterial Hypertension	Chronic Renal Insufficiency	Human Immunodeficiency Virus	Nonalcoholic Steatohepatitis	Esophageal Varices	Splenomegaly	Portal Hypertension	Portal Vein Thrombosis	Liver Metastasis	Radiological Hallmark	Age at diagnosis	Grams of Alcohol per day	Packs of cigarets per year:	Performance Status	Encefalopathy degree	Ascites degree	International Normalised Ratio:	Alpha-Fetoprotein (ng/mL)	Haemoglobin (g/dL)	Mean Corpuscular Volume (fl)	Leukocytes(G/L)	Platelets (G/L)	Albumin (mg/dL)	Total Bilirubin(mg/dL)	Alanine transaminase (U/L)	Aspartate transaminase (U/L)	Gamma glutamyl transferase (U/L)	Alkaline phosphatase (U/L)	Total Proteins (g/dL)	Creatinine (mg/dL)	Number of Nodules	Major dimension of nodule (cm)	Direct Bilirubin (mg/dL)	Iron (mcg/dL)	Oxygen Saturation (%)	Ferritin	Class
0	male	female	male	female	female	female	female	male	female	male	male	female	male	female	female	female	female	male	female	female	female	female	male	67	137	15.0	0	1	1	1.53	95.0	13.70	106.6	4.90	99.0	3.40	2.10	34.00	41	183.0	150.0	7.1	0.70	1	3.5	0.50	86.0	37.0	435.0	1
1	female	male	female	female	female	female	male	male	female	male	male	female	female	male	female	female	female	male	female	female	female	female	male	62	0	23.0	0	1	1	1.39	22427.0	12.79	94.5	1608.34	105104.0	3.41	3.24	69.22	101	264.0	215.0	8.7	2.95	1	1.8	1.96	86.0	37.0	435.0	1
2	male	female	male	male	female	male	female	male	female	male	female	female	female	male	male	female	female	female	female	male	female	male	male	78	50	50.0	2	1	2	0.96	5.8	8.90	79.8	8.40	472.0	3.30	0.40	58.00	68	202.0	109.0	7.0	2.10	5	13.0	0.10	28.0	6.0	16.0	1
3	male	male	male	female	female	female	female	male	female	male	male	female	female	male	female	female	female	female	female	female	female	male	male	77	40	30.0	0	1	1	0.95	2440.0	13.40	97.1	9.00	279.0	3.70	0.40	16.00	64	94.0	174.0	8.1	1.11	2	15.7	0.20	86.0	37.0	435.0	0
4	male	male	male	male	female	male	female	male	female	male	female	female	female	male	male	female	female	female	female	female	female	female	male	76	100	30.0	0	1	1	0.94	49.0	14.30	95.1	6.40	199.0	4.10	0.70	147.00	306	173.0	109.0	6.9	1.80	1	9.0	1.96	59.0	15.0	22.0	1
5	male	female	male	female	female	female	female	male	female	male	female	male	female	female	female	female	female	male	male	male	female	female	male	75	79	23.0	1	1	2	1.58	110.0	13.40	91.5	5.40	85.0	3.40	3.50	91.00	122	242.0	396.0	5.6	0.90	1	10.0	1.40	53.0	22.0	111.0	0
6	male	female	female	female	female	male	male	male	female	female	male	female	female	female	female	female	female	female	female	female	female	female	male	49	0	0.0	0	1	1	1.40	138.9	10.40	102.0	3.20	42000.0	2.35	2.72	119.00	183	143.0	211.0	7.3	0.80	5	2.6	2.19	171.0	126.0	1452.0	0
7	male	male	male	female	female	female	female	male	female	male	male	female	female	female	female	female	female	female	male	male	male	female	male	61	79	20.0	3	1	1	1.46	9860.0	10.80	92.0	3.00	58.0	3.10	3.20	79.00	108	184.0	300.0	7.1	0.52	2	9.0	1.30	42.0	25.0	706.0	0
8	male	male	male	female	female	female	female	male	female	male	male	female	female	male	female	female	female	female	male	male	female	female	male	50	100	32.0	1	1	2	3.14	8.8	11.90	107.5	4.90	70.0	1.90	3.30	26.00	59	115.0	63.0	6.1	0.59	1	6.4	1.20	85.0	73.0	982.0	1
9	male	male	male	female	female	female	female	male	female	female	female	female	male	female	female	female	female	female	male	female	female	female	female	43	100	0.0	0	1	1	1.12	1.8	11.80	87.8	5100.00	193000.0	4.20	0.50	71.00	45	256.0	303.0	7.1	0.59	1	9.3	0.70	86.0	37.0	435.0	1

Last rows

	Gender	Symptoms	Alcohol	Hepatitis B Surface Antigen	Hepatitis B e Antigen	Hepatitis B Core Antibody	Hepatitis C Virus Antibody	Cirrhosis	Endemic Countries	Smoking	Diabetes	Obesity	Hemochromatosis	Arterial Hypertension	Chronic Renal Insufficiency	Human Immunodeficiency Virus	Nonalcoholic Steatohepatitis	Esophageal Varices	Splenomegaly	Portal Hypertension	Portal Vein Thrombosis	Liver Metastasis	Radiological Hallmark	Age at diagnosis	Grams of Alcohol per day	Packs of cigarets per year:	Performance Status	Encefalopathy degree	Ascites degree	International Normalised Ratio:	Alpha-Fetoprotein (ng/mL)	Haemoglobin (g/dL)	Mean Corpuscular Volume (fl)	Leukocytes(G/L)	Platelets (G/L)	Albumin (mg/dL)	Total Bilirubin(mg/dL)	Alanine transaminase (U/L)	Aspartate transaminase (U/L)	Gamma glutamyl transferase (U/L)	Alkaline phosphatase (U/L)	Total Proteins (g/dL)	Creatinine (mg/dL)	Number of Nodules	Major dimension of nodule (cm)	Direct Bilirubin (mg/dL)	Iron (mcg/dL)	Oxygen Saturation (%)	Ferritin	Class
121	male	female	male	female	female	female	female	male	female	female	male	female	female	female	female	female	female	female	female	female	female	female	male	59	100	0.0	0	1	1	1.94	3.1	10.8	102.8	5300.0	97000.0	3.60	1.1	119.0	125	663.0	433.0	6.5	0.87	2	3.2	0.40	52.5	37.0	856.0	0
122	male	male	male	female	female	male	male	male	female	male	female	female	female	female	female	female	female	male	male	male	male	male	female	51	75	52.5	2	1	1	1.56	50655.0	9.8	85.6	3900.0	132000.0	2.60	2.6	123.0	219	503.0	363.0	7.3	0.55	1	4.0	1.50	40.0	12.0	57.0	0
123	male	female	female	female	female	female	female	female	female	female	female	female	female	male	female	female	female	female	female	female	female	female	male	74	0	0.0	0	1	1	1.11	1.2	15.1	83.8	5.2	178000.0	4.70	0.5	35.0	17	45.3	151.0	6.4	1.50	1	8.3	1.96	88.0	27.0	90.0	1
124	male	male	male	female	female	male	male	male	female	male	female	female	male	female	female	female	female	male	female	male	female	female	female	62	79	23.0	2	1	2	1.08	657.0	11.8	89.2	9400.0	211000.0	3.20	0.8	43.0	101	646.0	466.0	7.3	0.70	1	8.3	1.96	86.0	37.0	579.0	0
125	male	male	male	female	female	female	female	male	female	male	female	female	female	female	female	female	female	female	female	male	male	female	male	76	100	23.0	4	2	2	1.20	421500.0	14.3	89.5	9.8	309000.0	3.10	1.5	20.0	44	291.0	217.0	6.3	0.70	1	20.0	0.50	52.0	17.0	832.0	0
126	male	female	female	female	female	female	male	male	female	male	male	female	female	female	female	female	female	male	male	male	female	female	male	73	0	23.0	0	1	1	1.20	472.0	15.6	88.4	5.5	83000.0	4.00	2.4	117.0	128	249.0	117.0	7.2	0.69	1	13.0	0.70	86.0	37.0	435.0	1
127	male	female	male	female	female	female	female	male	female	female	male	female	female	male	female	female	female	female	male	male	male	female	male	76	79	0.0	3	2	1	1.66	77.0	12.3	104.2	2900.0	60000.0	3.20	2.8	54.0	38	311.0	182.0	6.2	0.77	2	4.3	1.00	93.0	47.0	307.0	1
128	male	female	female	male	female	female	female	male	female	male	female	female	female	female	female	female	female	female	male	female	female	female	female	72	0	510.0	2	1	1	1.13	2.1	12.6	95.1	8.7	254000.0	3.68	0.7	26.0	38	161.0	127.0	6.9	1.11	2	4.3	1.96	28.0	10.0	308.0	0
129	female	male	male	female	female	female	female	male	female	female	male	female	female	female	female	female	female	female	female	male	female	female	male	77	75	0.0	2	2	2	1.07	2.0	11.6	83.5	9.0	318000.0	3.89	0.9	23.0	48	319.0	171.0	7.1	0.66	2	5.8	1.96	86.0	37.0	435.0	0
130	female	male	female	female	female	female	female	male	female	female	female	male	female	male	female	female	female	female	female	female	male	male	female	75	0	0.0	2	1	3	1.22	4.2	14.9	87.4	15.4	179000.0	3.50	0.6	31.0	61	196.0	150.0	5.4	0.70	5	17.5	0.30	86.0	37.0	435.0	1

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters